We evaluate the compared approaches using SYNTHIA as a source domain and Cityscapes as a target domain. We follow the evaluation setting of Chen et al. [1]} reporting the mIoU score of the 13 classes shared between SYNTHIA and Cityscapes in Table REF . The columns of the table show the number of labeled target examples used for domain adaptation (out of approximately 3000 target domain examples). UDA approaches do not use labeled target data and so do not contain results for columns 100–1000. Likewise, the remaining approaches require labeled target data and so do not contain results for the 0 column. Note that the results of full labeled (2975) samples are removed since it violates the setting of our method which involves unlabeled target domain data during training.
